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Classification of cerebral palsy gait by Kernel Fisher Discriminant Analysis

Zhang, Bai-ling and Zhang, Yanchun (2008) Classification of cerebral palsy gait by Kernel Fisher Discriminant Analysis. International Journal of Hybrid Intelligent Systems, 5 (4). pp. 209-218. ISSN 1448-5869

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Cerebral palsy (CP) is generally considered as a non-progressive neuro-developmental condition that occurs in early childhood and is associated with a motor impairment, usually affecting mobility and posture. Automatic accurate identification of cerebral palsy gait has many potential applications, for example, assistance in diagnosis, clinical decision-making and communication among the clinical professionals. In previous studies, support vector machine (SVM) and some other pattern classification methods like neural networks have been applied to classify CP gait patterns. The objective of this study is to first further investigate different classification paradigms in the CP gait analysis, particularly the Kernel Fisher Discriminant Analysis (KFD) which has been successfully applied to many pattern recognition problems and identified as a strong competitor of SVM. The component obtained by KFD maximally separates two classes in the feature space, thus overcoming the limitations of linear discriminant analysis of being unable to extract nonlinear features representing higher-order statistics. Using a publicly available CP gait dataset (68 normal healthy and 88 with spastic diplegia form of CP), a comprehensive performances comparison was presented with different features including the two basic temporal-spatial gait parameters (stride length and cadence). Various cross-validation testing show that the KFD offers better classification accuracies than the support vector machine and is superior to a number of other classification methods such as decision tree, multiple layer perceptron and k nearest neighbor.

Item Type: Article
Additional Information:

Online ISSN: 1875-8819

Uncontrolled Keywords: ResPubID14743. cerebral palsy gait, Kernel Fisher Discriminant Analysis, machine learning, medical classification, classification of diseases
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
FOR Classification > 1109 Neurosciences
SEO Classification > 8903 Information Services
Faculty/School/Research Centre/Department > School of Engineering and Science
FOR Classification > 0103 Numerical and Computational Mathematics
Depositing User: VUIR
Date Deposited: 16 Aug 2011 03:48
Last Modified: 16 Aug 2011 03:48
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